TLDR Design 2026-09-07
Adobe’s New CEO 🎨, Runway Solaris 🌎, iPhone 18 Pro Power ⚡️
Introducing Solaris (11 minute read)
Solaris is the first Interface World Model, generating apps and websites frame by frame as a user interacts, with no code layer in between. A study of 250 participants preferred it over a coded interface in 61% of instruction-following comparisons and 71% of those judging natural behavior. Legible text, trust in generated content, and coherence across long sessions remain unsolved.
Adobe Names Anil Chakravarthy as CEO, Replacing Shantanu Narayen (2 minute read)
Adobe has named Anil Chakravarthy its next president and CEO, succeeding Shantanu Narayen on December 1 after his 18 years leading the company. The handover lands as fears of AI disrupting software makers push Adobe shares down 25% in 2024, 21% in 2025, and 18% this year. David Wadhwani, a widely tipped contender who ran the creativity and productivity business, is leaving alongside the announcement.
Leaker claims iPhone 18 Pro chip will have 7 GPU cores and faster RAM (2 minute read)
Leaked circuit diagrams suggest Apple's upcoming A20 Pro chip may feature a 7-core GPU, an expanded cache for its efficiency cores, and a faster memory interface, potentially delivering improved graphics performance and power efficiency. While the source has a reasonable track record, the claims are based on indirect analysis of motherboard layouts rather than the chip itself, so they should be treated as informed speculation until Apple officially unveils the iPhone 18 Pro.
Using AI for UX Work: Study Guide (10 minute read)
AI is becoming a useful part of UX work, but it works best as an assistant rather than a replacement for human judgment, research, and design expertise. The strongest use cases are targeted ones—speeding up research planning and synthesis, prototyping, writing, ideation, workshops, and service design—while keeping real users, critical evaluation, and clear accountability at the center. As UX roles evolve, the most durable skills are shifting toward strategy, critique, taste, systems thinking, and the ability to curate meaningful context for AI rather than simply producing artifacts faster.
Behind the Build: Generative Plugins and Shaders at Figma (7 minute read)
Generative plugins and shaders in Figma gain Community and organization publishing, animated and interactive effects, downloadable code, and MCP server support. The features began as a vibe-coded WebGPU prototype, then moved to a real pipeline system once a rendering engineer rebuilt the sandboxed architecture. With two months until Config, the team dropped PRDs and crits, working from demos and code prototypes in a single Slack channel.
When the canvas starts acting, who's really in control? (10 minute read)
As AI agents move beyond responding to prompts and begin actively navigating context, modifying files, running workflows, and making decisions, interface design is shifting from specifying every user action to orchestrating how responsibility moves between people and systems. The key design challenge becomes deciding what an agent can do autonomously, when it should ask for confirmation, what must remain reversible, and which judgment-heavy decisions should always return to a human. In this model, designers increasingly shape the product's policy layer—behavior, permissions, constraints, defaults, and attention—while human value moves toward deciding what deserves oversight and what can safely be delegated.
My View on Design Engineering (1 minute read)
A design engineer takes on the work no one else owns: the states a static mock never shows. Sixty-character names, layouts that jump while data loads, empty states, slow connections, and narrow phones are decisions too numerous to survive being written as requirements. One working definition: the person who owns whether a product still agrees with itself.
Hiring in the Age of AI in Design (6 minute read)
Design hiring is rising, with 82% of hiring managers reporting steady or growing need and 40% planning more roles within six months. What changed is the bar: 73% want candidates fluent with AI tools, and 79% want people who can design AI products, not just use them. Junior roles are the casualty, dropping 8 to 10% at companies adopting generative AI, while 38.5% of interviewed candidates were flagged for AI-assisted cheating.
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